Data Engineer

at  commonsku

JOIN THE TEAM THAT IS CHANGING THE PROMO INDUSTRY

commonsku is changing the way businesses within the $26 Billion promotional products space work. We are the leading platform for promo product distributors–combining CRM, Order Management, and eCommerce into one sophisticated hub.
But, we don’t just sell software; we believe in helping our customers build better businesses. Through collaboration, connection, and our skummunity (commonsku-community, get it?), we are elevating our customers and the world of branded merchandise. We are thought and brand leaders, pushing the boundaries of what’s possible in promo.

OUR CULTURE AND VALUES

Our values – Community First, Ten Steps Ahead, Fast Forward, and Delightful Work – drive us to create an exceptional experience for our customers, our partners, our industry, and our team.
We believe in the power of a team of nice people who are great at what they do. It’s pretty simple, really! We love creativity, a great sense of humour, enthusiasm, collaboration, risk-taking, optimism, and diverse opinions.
We are remote-first and maintain our headquarters in Toronto, ON. Our team spans across Canada and into the US. We gather together in Toronto twice a year, so no matter where we live, we get to spend time together to collaborate, learn, and celebrate! (It’s the best!)
And we’re growing! We’re looking for our next:

WITH THE EXPERIENCE WE THINK WILL HELP YOU SUCCEED:

• 5+ years of experience in data engineering, with a focus on building scalable data pipelines and warehouse solutions, in a start-up environment
• Strong experience with ETL processes, data pipeline automation, and integrating data from APIs, databases, and third-party sources.
• Proficiency with tools like dbt (Data Build Tool) or similar for data modelling, version control, and testing.
• Extensive experience in architecting data warehouses, including the creation of central datamarts, and maintaining efficient query structures.
• Expertise in SQL, Python (or similar scripting languages), and cloud-based data platforms (e.g., Snowflake, AWS Redshift, Airbyte, Fivetran, Ninjacat, Google BigQuery,).
• Experience integrating data from multiple sources like Stripe, Heap, HubSpot, and similar SaaS platforms.
• Experience in analytics engineering, with a focus on implementing data testing and version control in data pipelines.
• Familiarity with cloud infrastructure and orchestration tools such as Airflow, dbt, or similar for building automated workflows.
• Understanding of data governance best practices, including security, compliance, and data quality frameworks.
• Prior experience in a SaaS environment or working with high-volume transactional data, particularly in the a start-up environment
• Strong problem-solving skills, with an ability to translate business needs into technical data solutions.
• Excellent communication skills, with the ability to work closely with cross-functional teams and articulate technical concepts to non-technical stakeholders
• Ability to work independently in a small, scrappy, and fast-paced environment, manage multiple priorities, and meet deadlines.

Please refer the Job description for details